2024
Beitrag in Fachzeitschrift
Lennart Johannes Gruber, Jan Egger, Andrea Bönsch, Joep Kraeima, Max Ulbrich, Vincent van den Bosch, Ila Motmaen, Caroline Wilpert, Mark Ooms, Peter Isfort, Frank Hölzle and Behrus Puladi Accuracy and Precision of Mandible Segmentation and Its Clinical Implications
Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kroeninger, Jan Egger and Jens Kleesiek k-strip
Jan Egger, Christina Gsaxner, Jens Kleesiek and Behrus Puladi What is Diminished Virtuality? A Directional and Layer-Based Taxonomy for the Reality-Virtuality Continuum
Wentao Zhu, Yuan Jin, Gege Ma, Geng Chen, Jan Egger, Shaoting Zhang and Dimitris N. Metaxas Classification of lung cancer subtypes on CT images with synthetic pathological priors
Christian Mayer, Antonio Pepe, Sophie Hossain, Barbara Karner, Melanie Arnreiter, Jens Kleesiek, Johannes Schmid, Michael Janisch, Deutschmann Hannes, Michael Fuchsjäger, Daniel Zimpfer, Jan Egger and Heinrich Mächler Type B Aortic Dissection CTA Collection with True and False Lumen Expert Annotations for the Development of AI-based Algorithms
Domagoj Bošnjak, Antonio Pepe, Richard Schussnig, Jan Egger and Thomas Peter Fries A semi-automatic method for block-structured hexahedral meshing of aortic dissections
Tagungsbeitrag
Christina Gsaxner, Shohei Mori, Dieter Schmalstieg, Jan Egger, Gerhard Paar, Werner Bailer and Denis Kalkofen DeepDRProceedings - 2024 International Conference on 3D Vision, 3DV 2024750-760
Gian Marco Melito, Antonio Pepe, Alireza Jafarinia, Thomas Krispel and Jan Egger Optimizing Aortic Segmentation with an Innovative Quality Assessment: The Role of Global Sensitivity AnalysisSegmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition - First Challenge, SEG.A. 2023, Held in Conjunction with MICCAI 2023, Proceedings110-126
Timo Van Meegdenburg, Gijs Luijten, Jens Kleesiek, Behrus Puladi, Andre Ferreira, Jan Egger and Christina Gsaxner A Baseline Solution for the ISBI 2024 Dreaming ChallengeIEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings
Maximilian Weber, Daniel Wild, Jens Kleesiek, Jan Egger and Christina Gsaxner Deep Learning-Based Point Cloud Registration for Augmented Reality-Guided SurgeryIEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings
Andre Ferreira, Gijs Luijten, Behrus Puladi, Jens Kleesiek, Victor Alves and Jan Egger Generalisation of Segmentation Using Generative Adversarial NetworksIEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings
2023
Beitrag in Fachzeitschrift
Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg and Jan Egger The HoloLens in medicine: A systematic review and taxonomy
Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon Kim, Felix Nensa, Jens Kleesiek, Seyed Ahmad Ahmadi and Jan Egger Open-source skull reconstruction with MONAI
Gijs Luijten, Christina Gsaxner, Jianning Li, Antonio Pepe, Narmada Ambigapathy, Moon Kim, Xiaojun Chen, Jens Kleesiek, Frank Hölzle, Behrus Puladi and Jan Egger 3D surgical instrument collection for computer vision and extended reality
Jianning Li, Christina Gsaxner, Antonio Pepe, Dieter Schmalstieg, Jens Kleesiek and Jan Egger Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution
Antonio Pepe, Jan Egger, Marina Codari, Martin J. Willemink, Christina Gsaxner, Jianning Li, Peter M. Roth, Dieter Schmalstieg, Gabriel Mistelbauer and Dominik Fleischmann Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations
Tagungsbeitrag
Jianning Li, Antonio Pepe, Gijs Luijten, Christina Schwarz-Gsaxner, Jens Kleesiek and Jan Egger Anatomy CompletorShape in Medical Imaging 1-14
Jianning Li, Jana Fragemann, Seyed Ahmad Ahmadi, Jens Kleesiek and Jan Egger Training β -VAE by Aggregating a Learned Gaussian Posterior with a Decoupled DecoderMedical Applications with Disentanglements - First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Proceedings70-92
Jana Fragemann, Xiao Liu, Jianning Li, Sotirios A. Tsaftaris, Jan Egger and Jens Kleesiek Applying Disentanglement in the Medical DomainMedical Applications with Disentanglements - First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Proceedings3-11
Bernhard Scharinger, Antonio Pepe, Yuan Jin, Christina Gsaxner, Jianning Li and Jan Egger Multicenter aortic vessel tree extraction using deep learningMedical Imaging 2023
Theresa Huebner, Aaron Berger, Daniel Wild, Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Gijs Luijten, Jens Kleesiek and Jan Egger A Web-based Radiomics Module for Image Feature Extraction for Tumor CharacterizationMedical Imaging 2023
2022
Beitrag in Fachzeitschrift
Sascha Ranftl, Malte Rolf-Pissarczyk, Gloria Wolkerstorfer, Antonio Pepe, Jan Egger, Wolfgang von der Linden and Gerhard Holzapfel Stochastic modeling of inhomogeneities in the aortic wall and uncertainty quantification using a Bayesian encoder-decoder surrogate
Maria Gonçalves, Christina Gsaxner, André Ferreira, Jianning Li, Behrus Puladi, Jens Kleesiek, Jan Egger and Victor Alves Radiomics in Head and Neck Cancer Outcome Predictions
Jan Egger, Christina Gsaxner, Antonio Pepe, Kelsey L. Pomykala, Frederic Jonske, Manuel Kurz, Jianning Li and Jens Kleesiek Medical deep learning—A systematic meta-review
Lukas Radl, Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-hua Zhao and Jan Egger AVT: Multicenter aortic vessel tree CTA dataset collection with ground truth segmentation masks
Jan Egger, Daniel Wild, Maximilian Weber, Christopher A.Ramirez Bedoya, Florian Karner, Alexander Prutsch, Michael Schmied, Christina Dionysio, Dominik Krobath, Yuan Jin, Christina Gsaxner, Jianning Li and Antonio Pepe Studierfenster
Tagungsbeitrag
Harsh Sulakhe, Jianning Li, Jan Egger and Poonam Goyal CranGAN44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022603-608
Luana Petrelli, Antonio Pepe, Antonella Disanto, Christina Gsaxner, Jianning Li, Yuan Jin, Domenico Buongiorno, Antonio Brunetti, Vitoantonio Bevilacqua and Jan Egger Geometric modeling of aortic dissections through convolution surfacesMedical Imaging 2022
Paul Ganster, Maximilian Weber, Daniel Wild, Christina Gsaxner, Natalie Schellnegger and Jan Egger Bringing any Medical 3D Scan onto Augmented Reality Hardware - A Streamlined Data PipelineMedical Imaging 2022
Antonella Disanto, Antonio Pepe, Luana Petrelli, Christina Gsaxner, Jianning Li, Yuan Jin, Antonio Brunetti, Domenico Buongiorno, Jan Egger and Vitoantonio Bevilacqua Enhancement of aortic dissections in CT AngiographyMedical Imaging 2022
Sonstiger Beitrag
Jianning Li, David G Ellis, Antonio Pepe, Christina Gsaxner, Michele R. Aizenberg, Jens Kleesiek and Jan Egger Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model
2021
Buchkapitel
Jianning Li and Jan Egger PrefaceTowards the Automatization of Cranial Implant Design in Cranioplasty IIv
Beitrag in Fachzeitschrift
Christina Schwarz-Gsaxner, Antonio Pepe, Jianning Li, Una Ibrahimpasic, Jürgen Wallner, Dieter Schmalstieg and Jan Egger Augmented Reality for Head and Neck Carcinoma Imaging: Description and Feasibility of an Instant Calibration, Markerless Approach
Jianning Li, Christina Schwarz-Gsaxner, Antonio Pepe, Ana Morais, Victor Alves, Gord von Campe, Jürgen Wallner and Jan Egger Synthetic Skull Bone Defects for automatic Patient-specific Craniofacial Implant Design
Jianning Li, Marcell Krall, Florian Trummer, Afaque Rafique Memon, Antonio Pepe, Christina Gsaxner, Yuan Jin, Xiaojun Chen, Hannes Deutschmann, Ulrike Zefferer, Ute Schäfer, Gord von Campe and Jan Egger MUG500+
Juergen Wallner, Michael Schwaiger, Sarah Jayne Edmondson, Irene Mischak, Jan Egger, Matthias Feichtinger, Wolfgang Zemann and Mauro Pau Effects of pre‐operative risk factors on intensive care unit length of stay (Icu‐los) in major oral and maxillofacial cancer surgery
Jianning Li, Gord von Campe, Antonio Pepe, Christina Gsaxner, Enpeng Wang, Xiaojun Chen, Ulrike Zefferer, Martin Tödtling, Marcell Krall, Hannes Deutschmann, Ute Schäfer, Dieter Schmalstieg and Jan Egger Automatic skull defect restoration and cranial implant generation for cranioplasty
Oldřich Kodym, Jianning Li, Antonio Pepe, Christina Gsaxner, Sasank Chilamkurthy, Jan Egger and Michal Španěl SkullBreak / SkullFix – Dataset for automatic cranial implant design and a benchmark for volumetric shape learning tasks
Jan Egger, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jianning Li and Roman Kern Deep learning-a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact
Tagungsbeitrag
Jianning Li, Antonio Pepe, Christina Schwarz-Gsaxner and Jan Egger An Online Platform for Automatic Skull Defect Restoration and Cranial Implant DesignMedical Imaging 2021
Artem Kroviakov, Jianning Li and Jan Egger Sparse Convolutional Neural Network for Skull ReconstructionTowards the Automatization of Cranial Implant Design in Cranioplasty 2 - Second Challenge, AutoImplant MICCAI 2021, Proceedings80-94
Lei Yu, Jianning Li and Jan Egger PCA-SkullTowards the Automatization of Cranial Implant Design in Cranioplasty 2 - Second Challenge, AutoImplant MICCAI 2021, Proceedings105-115
Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin and Jan Egger Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold TriangulationTowards the Automatization of Cranial Implant Design in Cranioplasty II45-62
Christina Gsaxner, Jianning Li, Antonio Pepe, Dieter Schmalstieg and Jan Egger Inside-Out Instrument Tracking for Surgical Navigation in Augmented RealityVRST '21
Christina Dionysio, Daniel Wild, Antonio Pepe, Christina Gsaxner, Jianning Li, Luis Alvarez and Jan Egger A cloud-based centerline algorithm for StudierfensterMedical Imaging 2021
Michael Schmied, Antonio Pepe, Jianning Li, Yuan Jin, Christina Gsaxner and Jan Egger A patch-based-Approach for aortic landmarkingMedical Imaging 2021
Christopher A. Ramirez Bedoya, Daniel Wild, Antonio Pepe, Christina Gsaxner, Jianning Li and Jan Egger A web client-based online DICOM browser and NRRD converter for StudierfensterMedical Imaging 2021
Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner and Jan Egger Deep learning and particle filter-based aortic dissection vessel tree segmentationMedical Imaging 2021
2020
Proceedings
Jianning Li and Jan Egger Towards the Automatization of Cranial Implant Design in Cranioplasty
Beitrag in Fachzeitschrift
Jan Egger, Antonio Pepe, Christina Schwarz-Gsaxner and Jianning Li Deep Learning - A first Meta-Survey of selected Reviews across Scientific Disciplines and their Research Impact
Jan Egger, Christina Schwarz-Gsaxner, Antonio Pepe and Jianning Li Medical Deep Learning - A systematic Meta-Review
Tagungsbeitrag
Jan Egger, Simon Gunacker, Antonio Pepe, Gian Marco Melito, Christina Gsaxner, Jianning Li, Katrin Ellermann and Xiaojun Chen A comprehensive Workflow and Framework for immersive Virtual Endoscopy of dissected Aortae from CTA DataMedical Imaging 2020
Antonio Pepe, Richard Schussnig, Jianning Li, Christina Schwarz-Gsaxner, Xiaojun Chen, Thomas Peter Fries and Jan Egger IRIS: interactive real-time feedback image segmentation with deep learningSPIE Medical Imaging
Alexander Prutsch, Antonio Pepe and Jan Egger Design and Development of a Web-based Tool for Inpainting of Dissected Aortae in Angiography Images2020 Central European Seminar on Computer Graphics
Antonio Pepe, Gabriel Mistelbauer, Christina Schwarz-Gsaxner, Jianning Li, D. Fleischmann, Dieter Schmalstieg and Jan Egger Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative InpaintingThoracic Image Analysis - Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Proceedings130-140
Jianning Li, Antonio Pepe, Christina Schwarz-Gsaxner, Gord von Campe and Jan Egger A baseline approach for autoimplant: the MICCAI 2020 cranial implant design challengeMultimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures 75-84
Florian Karner, Christina Schwarz-Gsaxner, Antonio Pepe, Jianning Li, Philipp Fleck, Clemens Arth, Jürgen Wallner and Jan Egger Single-Shot Deep Volumetric Regression for Mobile Medical Augmented RealityMultimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures 64-74
Jianning Li and Jan Egger Dataset Descriptor for the AutoImplant Cranial Implant Design ChallengeTowards the Automatization of Cranial Implant Design in Cranioplasty 10-15
Yuan Jin, Jianning Li and Jan Egger High-Resolution Cranial Implant Prediction via Patch-Wise TrainingTowards the Automatization of Cranial Implant Design in Cranioplasty - First Challenge, AutoImplant 2020, Held in Conjunction with MICCAI 2020, Proceedings94 -103
Matthias Eder, Jianning Li and Jan Egger Learning Volumetric Shape Super-Resolution for Cranial Implant DesignTowards the Automatization of Cranial Implant Design in Cranioplasty - First Challenge, AutoImplant 2020, Held in Conjunction with MICCAI 2020, Proceedings104 -113
Technischer Bericht
Antonio Pepe, D. Fleischmann, Dieter Schmalstieg and Jan Egger Visual Computing of Dissected Aortae
Sonstiger Beitrag
Yang Li, Junlei Hu, Jiangchang Xu, Baoxin Tao, Dedong Yu, Yihan Shen, Yiqun Wu, Xiaojun Chen and Jan Egger A novel robot-world calibration in surgical robot system for zygomatic implant placement based on its motion characteristics and mechanical structure
Jan Egger, Jianning Li, Xiaojun Chen, Ute Schäfer, Gord von Campe, Marcell Krall, Ulrike Zefferer, Christina Schwarz-Gsaxner, Antonio Pepe and Dieter Schmalstieg Towards the Automatization of Cranial Implant Design in Cranioplasty: Structured description of the challenge design
2019
Beitrag in Fachzeitschrift
Antonio Pepe, Gianpaolo F Trotta, Peter Mohr-Ziak, Christina Gsaxner, Jürgen Wallner, Vitoantonio Bevilacqua and Jan Egger A Marker-Less Registration Approach for Mixed Reality–Aided Maxillofacial Surgery: a Pilot Evaluation
Christina Gsaxner, Peter M. Roth, Jürgen Wallner and Jan Egger Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data
Jürgen Wallner, Irene Mischak and Jan Egger Computed tomography data collection of the complete human mandible and valid clinical ground truth models
Mauro Pau, Jürgen Wallner, Matthias Feichtinger, Michael Schwaiger, Jan Egger, Janos Cambiaso-Daniel, Raimund Winter, Norbert Jakse and Wolfgang Zemann Free thoracodorsal, perforator-scapular flap based on the angular artery (TDAP-Scap-aa): Clinical experiences and description of a novel technique for single flap reconstruction of extensive oromandibular defects
Jürgen Wallner, Michael Schwaiger, Kerstin Maria Hochegger, Christina Gsaxner, Wolfgang Zemann and Jan Egger A Review on Multiplatform Evaluations of Semi-Automatic Open-Source Based Image Segmentation for Cranio-Maxillofacial Surgery
Christina Gsaxner, Jürgen Wallner, Xiaojun Chen, Wolfgang Zemann and Jan Egger Facial model collection for medical augmented reality in oncologic cranio-maxillofacial surgery
Tagungsbeitrag
Antonio Pepe, Gianpaolo F Trotta, Christina Gsaxner, Dieter Schmalstieg, Jürgen Wallner, Jan Egger and Vitoantonio Bevilacqua Pattern Recognition and Mixed Reality for Computer-Aided Maxillofacial Surgery and Oncological AssessmentBMEiCON 2018 - 11th Biomedical Engineering International Conference
Mauro Sylos Labini, Christina Gsaxner, Antonio Pepe, Juergen Wallner, Jan Egger and Vitoantonio Bevilacqua Depth-Awareness in a System for Mixed-Reality Aided Surgical ProceduresIntelligent Computing Methodologies - 15th International Conference, ICIC 2019, Proceedings716-726
Christina Gsaxner, Antonio Pepe, Dieter Schmalstieg, Jan Egger and Jürgen Wallner Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck SurgeryInternational Conference on Medical Image Computing and Computer-Assisted Intervention236-244
Daniel Wild, Maximilian Weber and Jan Egger A Client/Server Based Online Environment for Manual Segmentation of Medical ImagesThe 23rd Central European Seminar on Computer Graphics (CESCG)1-8
Christina Gsaxner, Peter M. Roth, Jürgen Wallner and Jan Egger Learning from the Truth: Fully Automatic Ground Truth Generation for Training of Medical Deep Learning NetworksProceedings of the Joint ARW & OAGM Workshop 2019173-174
Maximilian Weber, Daniel Wild, Jürgen Wallner and Jan Egger A Client/Server based Online Environment for the Calculation of Medical Segmentation Scores2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)3463-3467
Lydia Lindner, Dominik Narnhofer, Maximilian Weber, Christina Gsaxner, Jan Egger and Malgorzata Kolodziej Using Synthetic Training Data for Deep Learning-Based GBM Segmentation2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)6724-6729
Ana Morais, Jan Egger and Victor Alves Automated Computer-aided Design of Cranial Implants Using a Deep Volumetric Convolutional Denoising AutoencoderNew Knowledge in Information Systems and Technologies151-160
Sonstiger Beitrag
Christina Gsaxner, Birgit Pfarrkirchner, Lydia Lindner, Antonio Pepe, Peter M. Roth, Jürgen Wallner and Jan Egger PET-Train: Automatic Ground Truth Generation from PET Acquisitions for Urinary Bladder Segmentation in CT Images using Deep Learning
2018
Beitrag in Fachzeitschrift
Jürgen Wallner, Kerstin Hochegger, Xiaojun Chen, Irene Mischak, Knut Reinbacher, Mauro Pau, Tomislav Zrnc, Katja Schwenzer-Zimmerer, Wolfgang Zemann, Dieter Schmalstieg and Jan Egger Clinical evaluation of semi-automatic open-source algorithmic software segmentation of the mandibular bone
Alexander Hann, Evelyn Nosalski, Patrick C. Hermann, Jan Egger, Thomas Seufferlein and Frieder Keller Chemotherapeutic agents eligible for prior dosing in pancreatic cancer patients requiring hemodialysis
Tagungsbeitrag
Jan Egger, Birgit Pfarrkirchner, Christina Gsaxner, Lydia Lindner, Dieter Schmalstieg and Jürgen Wallner Fully Convolutional Mandible Segmentation on a valid Ground-Truth DatasetProceedings IEEE Engineering in Medicine and Biology Conference (EMBC)
Christina Gsaxner, Birgit Pfarrkirchner, Lydia Lindner, Norbert Jakse, Jürgen Wallner, Dieter Schmalstieg and Jan Egger Exploit 18F-FDG enhanced urinary bladder in PET data for deep learning ground truth generation in CT scansMedical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging
Sonstiger Beitrag
Birgit Pfarrkirchner, Christina Gsaxner, Lydia Lindner, Norbert Jakse, Jürgen Wallner, Dieter Schmalstieg and Jan Egger Lower jawbone data generation for deep learning tools under MeVisLab
Simon Gunacker, Markus Gall, Dieter Schmalstieg and Jan Egger Multi-threaded integration of HTC-Vive and MeVisLab
Lydia Lindner, Birgit Pfarrkirchner, Christina Gsaxner, Dieter Schmalstieg and Jan Egger TuMore: generation of synthetic brain tumor MRI data for deep learning based segmentation approaches
2017
Beitrag in Fachzeitschrift
Alexander Hann, Wolfram Bohle, Jan Egger and Wolfram Zoller Feasibility of alternating induction and maintenance chemotherapy in pancreatic cancer
Jan Egger, Markus Gall, Alois Tax, Muammer Ücal, Ulrike Zefferer, Xing Li, Gord von Campe, Ute Schäfer, Dieter Schmalstieg and Xiaojun Chen Interactive reconstructions of cranial 3D implants under MeVisLab as an alternative to commercial planning software
Jan Egger, Markus Gall, Jürgen Wallner, Pedro Boechat, Alexander Hann, Xing Li, Xiaojun Chen and Dieter Schmalstieg HTC Vive MeVisLab integration via OpenVR for medical applications
Jan Egger, Dieter Schmalstieg, Xiaojun Chen, Wolfram G Zoller and Alexander Hann Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images
Xiaojun Chen, Lu Xu, Xing Li and Jan Egger Computer-aided implant design for the restoration of cranial defects
Jan Egger, Jürgen Wallner, Markus Gall, Xiaojun Chen, Katja Schwenzer-Zimmerer, Knut Reinbacher and Dieter Schmalstieg Computer-aided position planning of miniplates to treat facial bone defects
Alexander Hann, Lucas Bettac, Mark M Haenle, Tilmann Graeter, Andreas W Berger, Jens Dreyhaupt, Dieter Schmalstieg, Wolfram G Zoller and Jan Egger Algorithm guided outlining of 105 pancreatic cancer liver metastases in Ultrasound
Jan Egger, Christopher Nimsky and Xiaojun Chen Vertebral body segmentation with GrowCut
Tagungsbeitrag
Markus Gall, Knut Reinbacher, Jürgen Wallner, Jan Stanzel, Xiaojun Chen, Katja Schwenzer-Zimmerer, Dieter Schmalstieg and Jan Egger Interactive Planning of MiniplatesProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Jan Egger, Kerstin Hochegger, Markus Gall, Xiaojun Chen, Knut Reinbacher, Katja Schwenzer-Zimmerer, Dieter Schmalstieg and Jürgen Wallner Algorithmic evaluation of lower jawbone segmentationsProc. SPIE Medical Imaging
Jan Egger, Markus Gall, Jürgen Wallner, Pedro Boechat de Almeida Germano, Alexander Hann, Xing Li, Xiaojun Chen and Dieter Schmalstieg Integration of the HTC Vive into the Medical Platform MeVisLabProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Jan Egger, Markus Gall, Jürgen Wallner, Knut Reinbacher, Katja Schwenzer-Zimmerer and Dieter Schmalstieg Interaktive Planung von GesichtsimplantatenBildverarbeitung für die Medizin 2017134 - 139
Sonstiger Beitrag
Jan Egger, Xiaojun Chen, Lucas Bettac, Mark M Haenle, Tilmann Graeter, Wolfram Zoller, Dieter Schmalstieg and Alexander Hann In-depth Assessment of an Interactive Graph-based Approach for the Segmentation for Pancreatic Metastasis in Ultrasound Acquisitions of the Liver with two Specialists in Internal Medicine
Jan Egger Interactive Planning of Miniplates
Jan Egger Integration of the HTC Vive into the Medical Platform MeVisLab
Jan Egger Interaktive Planung von Gesichtsimplantaten
Jan Egger Development of a Semiautomatic Segmentation Algorithm for the Measurement of Pancreatic Cancer Liver Metastases in Ultrasound Images
Jan Egger Evaluation of an Interactive Segmentation Algorithm using Ultrasound Images of Pancreatic Cancer Liver Metastases
Jan Egger Interactive algorithm for the measurement of pancreatic cancer liver metastases in ultrasound
Jan Egger Augmented Reality (AR)-guided intraoperative Navigation
Jan Egger A VR-based surgical simulation system using patient- specific physical computing model
2016
Beitrag in Fachzeitschrift
Xiaojun Chen, Lu Xu, Yue Yang and Jan Egger A semi-automatic computer-aided method for surgical template design
Xiaojun Chen, Xing Li, Lu Xu, Yi Sun, Constantinus Politis and Jan Egger Development of a computer-aided design software for dental splint in orthognathic surgery
Markus Gall, Xiaojun Chen, Dieter Schmalstieg and Jan Egger Computer-Aided Planning of Cranial 3D Implants
A Hann, W Bohle, Jan Egger and W G Zoller Improvement in advanced pancreatic cancer survival with novel chemotherapeutic strategies - experience of a community based hospital
Tobias Lüddemann and Jan Egger Iterative-cuts
Tagungsbeitrag
Jan Egger, Kerstin Hochegger, Markus Gall, Knut Reinbacher, Katja Schwenzer-Zimmerer, Jürgen Wallner and Dieter Schmalstieg Clinical Evaluation of Mandibular Bone SegmentationProc. IEEE Engineering in Medicine and Biology Society (EMBC'16), Posters
Jan Egger, Philip Voglreiter, Mark Dokter, Michael Hofmann, Xiaojun Chen, Wolfram G. Zoller, Dieter Schmalstieg and Alexander Hann US-Cut: interactive algorithm for rapid detection and segmentation of liver tumors in ultrasound acquisitionsProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Markus Gall, Xing Li, Xiaojun Chen, Dieter Schmalstieg and Jan Egger Computer-Aided Planning and Reconstruction of Cranial 3D ImplantsProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS1179 - 1183
Abschlussarbeit
Jan Egger Segmentierung medizinischer Bilddaten und bildgestützte intraoperative Navigation
Sonstiger Beitrag
Jürgen Wallner, Knut Reinbacher, Jan Egger, Mauro Pau, Wolfgang Zemann, Tomislav Zrnc, Dieter Schmalstieg and Katja Schwenzer-Zimmerer Image-guided real-time-segmentation of the mandibular bone: Can a simple Segmentation approach provide a satisfying result for a practicable use?
Knut Reinbacher, Jürgen Wallner, Jan Egger, Philip Voglreiter, Mauro Pau, Tomislav Zrnc, Matthias Feichtinger and Katja Schwenzer-Zimmerer AR (augmented reality)-Paradigmenwechsel im Therapiedesign
Markus Gall, Jürgen Wallner, Katja Schwenzer-Zimmerer, Dieter Schmalstieg, Knut Reinbacher and Jan Egger Computer-aided Reconstruction of Facial Defects
2015
Beitrag in Fachzeitschrift
Xiaojun Chen, Lu Xu, Yiping Wang, Huixiang Wang, Fang Wang, Xiangsen Zeng, Qiugen Wang and Jan Egger Development of a surgical navigation system based on augmented reality using an optical see-through head-mounted display
Jan Egger, Harald Busse, Philipp Brandmaier, Daniel Seider, Matthias Gawlitza, Steffen Strocka, Philip Voglreiter, Mark Dokter, Michael Hofmann, Bernhard Kainz, Alexander Hann, Xiaojun Chen, Tuomas Alhonnoro, Mika Pollari, Dieter Schmalstieg and Michael Moche Interactive Volumetry Of Liver Ablation Zones
Tagungsbeitrag
Jan Egger, Harald Busse, Michael Moche, Philipp Brandmaier, Daniel Seider, Matthias Gawlitza, Steffen Strocka, Nikita Garnov, Jochen Fuchs, Peter Voigt, Florian Dazinger, Philip Voglreiter, Mark Dokter, Michael Hofmann, Alexander Hann, Bernd Freisleben, Thomas Kahn and Dieter Schmalstieg Semi-automatische Segmentierung von Schädigungszonen in post-interventionellen CT-DatenWorkshop Bildverarbeitung für die Medizin
Tobias Lüddemann and Jan Egger Interaktive und skalierungsinvariante Segmentierung des Rektums/Sigmoid in intraoperativen MRT-Aufnahmen für die gynäkologische BrachytherapieWorkshop Bildverarbeitung für die Medizin
Bernhard Kainz, Christina Malamateniou, Giulio Ferrazzi, Maria Murgasova, Jan Egger, Kevin Keraudren, Mary Rutherford, Joseph Hajnal and Daniel Rueckert Adaptive Scan Strategies for fetal MRI Imaging using Slice to Volume TechniquesIEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro
Jan Egger, Harald Busse, Philipp Brandmaier, Daniel Seider, Matthias Gawlitza, Steffen Strocka, Philip Voglreiter, Mark Dokter, Michael Hofmann, Bernhard Kainz, Xiaojun Chen, Alexander Hann, Pedro Boechat de Almeida Germano, Wei Yu, Bernd Freisleben, Tuomas Alhonnoro, Mika Pollari, Michael Moche and Dieter Schmalstieg RFA-Cut: Semi-automatic Segmentation of Radiofrequency Ablation Zones with and without Needles via Optimal s-t-CutsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
Philip Voglreiter, Jürgen Wallner, Knut Reinbacher, Katja Schwenzer-Zimmerer, Dieter Schmalstieg and Jan Egger Global Illumination Rendering for High-Quality Volume Visualization in the Medical Domainface 2 face - science meets art
Sonstiger Beitrag
Jan Egger, Philip Voglreiter, Mark Dokter, Michael Hofmann, Harald Busse, Daniel Seider, Philipp Brandmaier, Riitta Rautio, Gabriele Zettel, Bianca Schmerböck, Martinus van Amerongen, Sjoerd Jenniskens, Marina Kolesnik, Bernhard Kainz, Roberto Blanco Sequeiros, Horst Portugaller, Philipp Stiegler, Jurgen Futterer, Dieter Schmalstieg and Michael Moche In-depth Multicenter Workflow Analysis of Liver Tumor Ablations for the Development of a Novel Computer-aided Software Tool
Philip Voglreiter, Jürgen Wallner, Knut Reinbacher, Katja Schwenzer-Zimmerer, Dieter Schmalstieg and Jan Egger Global Illumination Rendering for High-Quality Volume Visualization in the Medical Domain
Jan Egger, Philip Voglreiter, Mark Dokter, Michael Hofmann, Harald Busse, Daniel Seider, Philipp Brandmaier, Riitta Rautio, Gabriele Zettel, Bianca Schmerböck, Martinus van Amerongen, Sjoerd Jenniskens, Marina Kolesnik, Bernhard Kainz, Roberto Blanco Sequeiros, Horst Portugaller, Philipp Stiegler, Jurgen Futterer, Dieter Schmalstieg and Michael Moche In-depth Multicenter Workflow Analysis of Liver Tumor Ablations for the Development of a Novel Computer-aided Software Tool
2014
Beitrag in Fachzeitschrift
Jan Egger Refinement-Cut: User-Guided Segmentation Algorithm for Translational Science
Jan Egger, Tobias Lüddemann, Robert Schwarzenberg, Bernd Freisleben and Christopher Nimsky Interactive-cut: Real-time feedback segmentation for translational research
Sonstiger Beitrag
Jan Egger Semi - automatische Echtzeit - Konturierung mit einem vorlagenbasierten und skalierungsinvarianten Ansatz
Harald Busse, Michael Moche, Philipp Brandmaier, Matthias Gawlitza, Steffen Strocka, Thomas Kahn, Dieter Schmalstieg and Jan Egger Novel Semiautomatic Real-time CT Segmentation Tool and Preliminary Clinical Evaluation on Thermally Induced Lesions in the Liver

up